Evidence map›Paper›PMID 36929451›Full record

ArticleFunctional & integrative genomics2023

Integration of clinical and spatial data to explore lipid metabolism-related genes for predicting prognosis and immune microenvironment in gliomas.

Zhangyi Yu, Yuneng Zhou, Yongxue Li, Zhiqiang Dong

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Zhangyi YuCenter for Neurological Disease Research, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Yuneng ZhouSchool of Environmental Ecology and Biological Engineering, Donghu New & High Technology Development Zone, Wuhan Institute of Technology, No.206, Guanggu 1St Road, Wuhan, 430205, Hubei, China.
Yongxue LiMuping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, Shandong, China.
Zhiqiang DongCenter for Neurological Disease Research, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China. dongz@mail.hzau.edu.cn.
Taihe Hospital · CNChinese Academy of Sciences · CNWuhan Donghu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid metabolism is crucial to tumor growth and immune microenvironment as well as drug sensitivity in glioma. Identifying prognostic indicators of glioma and elucidating the mechanisms of glioma progression are critical for improving the prognosis of glioma patients. In this study, we investigated the role and prognostic value of metabolism-related genes in glioma by integrative analysis of datasets from GEO, CGGA, and TCGA. Based on clinical data and transcriptome data, we found that the expression pattern of three major pathways related to lipid metabolism is fatty acid

Indexed as

GliomaLipid MetabolismFatty AcidsHumansHypoxiaMacrophagesTumor MicroenvironmentFatty AcidsDrug sensitivityGBMLipid metabolismMicroenvironmentRisk prognostic model

Identifiers

PMID36929451
OpenAlexW4327624472

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.